View JSON as a Table

This tool converts JSON arrays into a visual HTML table format. It's the fastest way to preview JSON data in a readable, spreadsheet-like view without leaving your browser.

Supported JSON Structures

The tool works best with arrays of objects:

[
  { "name": "Alice", "age": 30 },
  { "name": "Bob", "age": 25 }
]

Or an object containing an array:

{
  "users": [
    { "name": "Alice", "age": 30 },
    { "name": "Bob", "age": 25 }
  ]
}

Features

• Auto-detect arrays — Finds the first array in your JSON
• Merged columns — Handles objects with different fields
• Type highlighting — Booleans, nulls, and objects are color-coded
• HTML export — Copy as HTML table for use in documents

Common Use Cases

• API response inspection — Quickly visualize API data
• Data validation — Check data structure at a glance
• Documentation — Generate tables for documentation
• Debugging — Easier than reading raw JSON

Handling Special Values

HTML Export

Click "Copy HTML" to get a clean HTML table you can paste into:

• Confluence or wiki pages
• Email clients
• HTML documents
• CMS platforms

Programmatic Conversion

JavaScript

function jsonToHtmlTable(data) {
  if (!Array.isArray(data) || data.length === 0) return '';
  
  const headers = Object.keys(data[0]);
  const headerRow = headers.map(h => `<th>${h}</th>`).join('');
  
  const bodyRows = data.map(row => 
    `<tr>${headers.map(h => `<td>${row[h] ?? ''}</td>`).join('')}</tr>`
  ).join('');
  
  return `<table><thead><tr>${headerRow}</tr></thead><tbody>${bodyRows}</tbody></table>`;
}

Python

import json
import pandas as pd

# Read JSON and convert to HTML table
data = json.loads(json_string)
df = pd.DataFrame(data)
html_table = df.to_html(index=False)

Pro Tips

• 💡 Large datasets — For very large arrays, the table might be slow. Consider paginating or filtering first.
• 💡 Nested data — For deeply nested JSON, useJSON Flatten first.
• 💡 Export to spreadsheet — Use JSON to CSV for Excel or Google Sheets.

Related Tools

• JSON to CSV — Export to spreadsheet format
• JSON Flatten — Flatten nested data first
• JSON Path — Extract specific data
• JSON Validator — Validate your JSON

Common Mistakes & Pro Tips

• Rendering is for viewing — copy or export to keep the data — A visual HTML table is a way to inspect JSON, not a file format, so the value lives in the page rather than on disk. To reuse it, copy the table into a spreadsheet (which pastes as rows and columns) or use a dedicated CSV/Excel export. Don't expect the rendered view alone to persist your data.
• Nested objects and arrays render as sub-tables or stringified text — Unlike CSV, an HTML table can nest, so a converter may render a nested object or array as a collapsible sub-table inside a cell rather than flattening it. Other tools stringify the nested value as JSON text in the cell. Knowing which approach is used tells you whether deep structures stay explorable or get collapsed to one line.
• Columns are the union of keys; ragged data leaves blank cells — When rows have different keys, the table shows the union of all keys as columns and leaves a cell blank wherever a row lacks that key. This makes inconsistent schemas easy to spot at a glance — gaps in a column reveal which records are missing a field. A converter that uses only the first row's keys would hide those extra fields.
• HTML-escape values to avoid broken layout or injected markup — Values containing <, >, or & must be HTML-escaped before insertion, both so they display literally and so a string like <img onerror=...> can't execute as markup in the page. A safe renderer entity-encodes these characters. This matters most when the JSON comes from an untrusted source and is shown in a browser.
• Large arrays can freeze the page without virtualization — Rendering tens of thousands of rows as real DOM nodes is slow and can hang the browser, since each cell is an element. Tools that handle big data either paginate, virtualize (render only visible rows), or cap the row count. If a large file makes the page unresponsive, slice the JSON or use a streaming/export path instead of full render.